Improved Projection Pursuit Model to Evaluate the Maturity of Healthy Building Technology in China
Auteur(s): |
Peng Zhou
Chenyang Peng Bin Gan Zhou Wang Xueren Liu |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Buildings, 8 octobre 2024, n. 10, v. 14 |
Page(s): | 3067 |
DOI: | 10.3390/buildings14103067 |
Abstrait: |
The development of healthy building technology has become a major trend in the global construction industry, especially in China, owing to accelerating urbanization and increasing health awareness among residents. However, an effective evaluation framework to quantify and evaluate the maturity of healthy building technology is lacking. This paper proposes a novel maturity evaluation model for healthy building technology. After analyzing the Driver–Pressure–State–Impact–Response (DPSIR) framework for asserting the maturity of healthy building in China, it constructs an evaluation indicator system, comprising five and twenty-seven first_ and second-class indicators, respectively. Subsequently, this paper constructs an improved projection pursuit model based on border collie optimization. The model obtains evaluation results by mining evaluation data, thus overcoming the limitations of traditional evaluation models in dealing with complex data. The empirical research results demonstrate that China is in the optimization stage in terms of the level of maturity of healthy building technology. The weight of impact is as high as 0.2743, which is the most important first_level indicator. Strict green energy utilization policy requirements are the most important secondary indicator, with a weight of 0.0513. Notably, the model is more advanced than other algorithms. In addition, this paper offers some countermeasures and suggestions to promote healthy building in China. Developing and applying this model can promote and popularize healthy building technology in China and even the globe and contribute to a healthier and more sustainable living environment. |
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sur cette fiche - Reference-ID
10804428 - Publié(e) le:
10.11.2024 - Modifié(e) le:
10.11.2024